This book opens with a broad survey of how AI and biomedical visualization are reshaping medicine today. It defines the global challengesworkforce shortages, exploding data volumes, and rising coststhat make AI's intervention critical, and introduces the core technologies (machine learning, virtual reality, telemedicine) driving innovation across diagnostic, educational, and delivery systems. By framing these advances within real world pressures, the introduction establishes why a holistic, interdisciplinary treatment of AI's role in healthcare is both timely and essential.

Delving deeper, the text is organized into ten thematically linked chapters. It begins by charting the anatomy of medical data and the visualization tools that make complex information interpretable, then moves into machine learning approaches for imaging and AI driven diagnostic platforms. Subsequent chapters explore immersive virtual reality simulations for clinician training, the ethical and regulatory imperatives of AI adoption, and the evolution of AI in medical education and surgical simulation. The book also examines frontier applicationsautonomous health systems in spaceflight, AI supported care in low resource settings, and strategies for workforce adaptationbefore concluding with a forward looking synthesis of best practices and future directions.

This volume is crafted for a diverse readershipclinicians seeking to integrate AI tools, researchers probing new algorithms, healthcare administrators designing policy, and students building interdisciplinary expertise. By combining case studies, evidence based analyses, and practical guidance, it equips readers to navigate AI's complexities responsibly, optimize clinical workflows, and ultimately improve patient outcomes. Whether you're on the front lines of care or shaping the next generation of medical innovation, this book delivers the insights and frameworks needed to harness AI's transformative potential.

Comprehensively covers AI and biomedical visualization in healthcare Includes real-world case studies and practical examples of AI and visualization in action Bridges multiple disciplines, including medicine, technology, and ethics

Autorentext

Dr. Johann Malawana: Johann is the CEO of Medics Academy, Managing Director of The Healthcare Leadership Academy (HLA) and the Associate Dean - Innovation at the School of Medicine and Dentistry at the University of Lancashire. Johann has a focus on Innovation, Entrepreneurship, Leadership of Health Systems and Technology Enhanced Learning.

Dr. Arian Arjomandi Rad: Dr. Arian Arjomandi Rad is the Research Director at The Healthcare Leadership Academy and currently a cardio-thoracic surgery nationally appointed trainee in Oxford. He graduated from Imperial College London, with a degree in Medicine and Surgery. He also obtained a degree in Management from Imperial College London Business School. He is a PhD candidate in Cardiothoracic Surgery at the University of Maastricht, School for Cardiovascular Diseases. Dr. Arjomandi Rad has a strong interest in Cardiothoracic Surgery, with a particular focus on academic cardiac surgery, mitral valve surgery, left ventricular assist devices, and mechanical circulatory support. He holds a particular passion for innovation, leadership and research with interests spanning the intersection of surgery, medical technology and digital health. Over his short career, he has published over 90 papers, served as editor for 2 books, held over 40 national and international presentations, and received 13 academic awards/prizes, including The Diana Legacy Award for his research and volunteering activities.

Dr. Robert Vardanyan: Dr Robert Vardanyan is a neurosurgical nationally appointed trainee in the Severn deanery. Graduated from Imperial College School of Medicine and Imperial College Business School, his professional life has been dedicated to excelling in academic neurosciences, operative neurosurgery, and surgical research.
He has achieved 50 publications and presented at more than 70 national and international academic forums, all whilst developing his clinical and operative abilities into a devoted neurosurgical resident. His academic contributions are further demonstrated by his co-authorship of various educational resources, including two textbooks on the Objective Structured Practical Examinations for undergraduate medical education. He is also a co-director of the HLA Research Masterclass Course with Dr Arjomandi Rad, aimed at fostering research skills among students and professionals worldwide.
Additionally, his involvement in Bioethics and Diploma in the Philosophy of Medicine have allowed him to explore and contribute to the application of bioethics in everyday clinical practice, particularly, with regards to artificial intelligence-enabled healthcare and surgery.

Dr. George Miller: George is an Emergency Medicine Doctor. The Executive Committee takes responsibility for the day-to-day running of the HLA, George also separately chairs the HLA Research Collaborative. He is also an Honorary University Lecturer, a Fellow of the Institute of Leadership and Management and a lead for the Intermediate Leadership Programme.
In addition to his work at the HLA, he is a President at Amnesty International and sits on the International Advisory Council at Action Against Hunger.
He was one of the top scoring applicants for the AFP, CST and Public Health Training across the country, and he has presented national courses on 'Success in Medical School', 'Preparing for the AFP' and 'Preparing for the PSA'. He has conducted his policy research at the Department of Social Policy and Intervention, University of Oxford.

Inhalt

Chapter 1. The Anatomy of Medical Data.- Chapter 2. Machine Learning Algorithms for Medical Imaging.- Chapter 3. Virtual Reality in Medical Training.- Chapter 4. Artificial Intelligence in Diagnosis.- Chapter 5. Ethical Considerations in AI-Enabled Healthcare.- Chapter 6. The Role of Artificial Intelligence in Medical Education.- Chapter 7. AI in Surgical Simulation Training.- Chapter 8. Interstellar Informatics: Visualizing Space Medicine through Artificial Intelligence.- Chapter 9. AI in Healthcare in Low and Middle Income Countries.- Chapter 10. The Role of Artificial Intelligence in Workforce Adaptation and Skill Development.